Auto Scaling
Key Points Adds or removes capacity automatically in response to workload demand Used in cloud platforms, Kubernetes clusters, and distributed services Responds to metrics such as CPU, queue depth, request rate, or health Supports elasticity and resource efficiency Prevents overprovisioning…